Objective: The study aimed to determine whether prolonged gadget use will have an effect in the child's sleep quality. The study also aimed to ascertain if there is a significant relationship between the parameters of CSHQ and the average length of sleep, average length of gadget use, and frequency of gadget use. Design: Descriptive research design was used, particularly the survey method. Simple random sampling was used. Setting: Private school in Lucena City, Quezon Province. Participants: Parents of Grades 4-6 students in a private schools in Lucena City. Sample size was computed at n=131. Results: 53.4% of the respondents were males, 29.8% of which are 11 year-old, grade 6 students (35.9%). The average length of sleep of most children was at 6-8 hours (57.3%), with an average length of gadget use at 5-10 hours daily (58%), 5-7x a week (61.8%). Weighted means computation showed that parents agreed to the positive statements of the CSHQ but key problems based on the CSHQ statements were identified upon further analysis. Conclusions With an a = 0.05, significant relationships were established between the parameters of the CSHQ and the average length of gadget use (p = 0.012615 < 0.05), as well as the frequency of gadget use (p = 0.000116 < 0.05). Generalization should be made with caution due to the small sample size and non-diversity of the samples. Recommendations are due to improved generalizability by increasing sample size and diversity of the samples.
Sleep Quality

Introduction: Sleep health is essential to overall physical, mental and neurobehavioral well-being. Poor sleep quality has been linked to numerous health conditions, impaired school and work performance and increased risk for accidents. Hence, evaluation of a person's sleep health is vital to any medical examination. Questionnaires such as Pittsburgh Sleep Quality Index (PSQI) have an important role in the preliminary evaluation of sleep health. PSQI has been regarded as the standard instrument to measure sleep quality. It has been translated into several languages and has been validated in various populations. This study aimed to assess the validity and reliability of the Filipino version of the PSQI.

Methods: The Filipino version of the PSQI was administered to 200 adult subjects. After 24-48 hours, the English version of the PSQI was administered to the same respondents. Basic demographic information, co-morbidities and use of medications were obtained. Cronbach's alpha and Kappa test of agreement were measured to test the reliability of the Filipino version while confirmatory factor analysis was used to determine the validity of the translated tool.

Results: The Filipino version of the PSQI was reliable with Cronbach's alpha of 0.70. The agreement coefficient of all items in the questionnaire were all above 0.81 indicating a very good level of agreement between the English and Filipino versions. Confirmatory factor analysis showed that items Q1, Q3, Q4, Q5a-Q5i, Q6, Q7, Q8 and Q9 were significant with p-values below 0.05. Overall, as measured by the Goodness of fit, it showed that the items in the Filipino version of the questionnaire are directly correlated with English PSQI Score.

Conclusion: The Filipino version of the PSQI is a valid and reliable instrument to assess sleep quality.

Background: Sleep is an essential occupation for students. It affects one's neurocognitive functions and psychomotor performance, playing a significant role in academic performance, health, and well-being. This study aims to describe the sleep quality and sleep patterns among undergraduate occupational therapy (OT) students at the University of Santo Tomas (UST) during the COVID-19 pandemic. Methods: This descriptive cross-sectional study utilized a record review based on existing data from the UST OT Department's Student Life Survey 2021 database. A total of 205 students from different year levels and academic cohorts of the academic year 2021-2022 participated in the survey, which included the Pittsburgh Sleep Quality Index (PSQI). The data with valid responses (n=204) was analyzed using the measures of central tendency and dispersion, such as mean and standard deviation. Results: Data analysis revealed that 95.59% (n=195) of student respondents had significantly poor sleep quality, while 4.41% (n=9) had good sleep quality. Students in the fifth-year level had the greatest sleep dysfunction as opposed to those in the third-year level who had little sleep dysfunction. Sleep duration and daytime dysfunction received the highest individual scores across all year levels. Conclusion Having poor sleep quality is a common occurrence among undergraduate OT students in UST during the COVID-19 pandemic. Sleep pattern trends suggest the need for school administrators and educators to create measures to mitigate possible negative effects on their student’s academic performance, health, and overall quality of life, especially during public health emergencies, calamities, and disasters.
Sleep Quality ; COVID-19

BACKGROUND AND OBJECTIVE

Due to their academic load, medical students are highly susceptible to stress. Stress is one of the factors that can alter sleep quality which may consequently affect the cognitive performance of medical students. There has been a lack of published local literature that looks into the association between stress and sleep quality, especially during the COVID-19 pandemic. With this, the general objective of this study is to determine the effect of stress on the sleep quality of medical students from the University of the Philippines Manila - College of Medicine (UPCM).

A cross-sectional study was conducted using a stratified random sample of 273 males and females of Learning Unit (LU) III (1st year) to VII (5th year) medical students from a college of medicine based in the Philippines, UPCM, during the second semester of the academic year 2021-2022. A self-administered questionnaire was distributed to assess sleep quality using the Pittsburgh Sleep Quality Index (PSQI), and stress level using the Kessler Psychological Distress Scale (K10). Kruskal-Wallis was used to test statistical differences between stress scores and the sleep quality of students from different year levels. Spearman's Rho was used to determine the correlation between stress and sleep, and a binary logistic regression was employed to study the association of stress with sleep while accounting for confounding variables namely caffeine intake, year level, daytime nap, duty hours, clinical rotation, sex, and age.

A high prevalence of stress (79.71%) and poor sleep quality (59.73%) among LU III to LU VII UPCM students were found, with a statistically positive correlation (⍴=0.44) 95CI [0.33-0.55] (p-value < 0.001). Both the stress scores and sleep quality indices were not statistically significantly different across LUs. Gathered data and interpreted results showed that medical students suffering from stress are more likely to have poor sleep quality, which can lead to low academic performance and high susceptibility to chronic diseases, compared to those medical students with low levels of stress. Only being an LU IV [OR=1.38 95CI (0.036-4.625)] and LU V [OR=2.13 95CI (0.296-6.936)] student had increased odds of having poor sleep quality compared to LU III students. Caffeine intake, daytime nap, duty hours, clinical rotation, sex, and age were not associated with poor sleep quality.

This study documents a statistically significant association between stress and poor sleep quality among LU III to LU VII UPCM students. A larger study covering multiple medical schools in the Philippines may be of merit for future investigations to generate nationwide data. Additional recommendations include: a) conducting a cross-sectional or a longitudinal study to detect changes in the characteristics of the population, b) observing the differences in the contributing factors at multiple points throughout the year, c) investigating the effect of dwelling set-up on sleep quality may also be investigated and d) determining if sleep quality affects the level of perceived stress of medical students.

Insomnia is a subjective experience of difficulty in falling asleep and/or maintaining sleep accompanied by the impairment of daytime social functioning due to insufficient sleep quality or quantity to meet normal physiological needs.It has chronic damage to all the human body systems and is the most common sleep disorder.The main mechanism for the occurrence and maintenance of insomnia is the hyperarousal hypothesis,and microarousal,as a cortical arousal,is also involved in the formation of the hyperarousal mechanism.The mechanism and clinical significance of microarousal were reviewed and summarized in this paper in order to guide the clinical work.
Arousal ; Humans ; Sleep ; Sleep Initiation and Maintenance Disorders ; Sleep Quality

Introduction : The purpose of this study was to identify the relationship of sleep quality to fatigue and its effect on the clinical decision making of staff nurses Methods : This study correlated the effect of sleep quality and fatigue on the clinical decision making among staff nurses at the UERM Memorial Hospital using the Pittsburgh Sleep Quality Index, Fatigue Assessment Scale, and Clinical Decision Making in Nursing Scale for sleep quality, fatigue and clinical decision making, respectively. Spearman rho coefficient was computed to determine the relationship between sleep quality and fatigue, and between sleep quality and clinical decision making. The chance of poor clinical decision making among nurses with and without fatigue were computed. Results : Twenty-eight nurses were included in the study, of which 75% had poor sleep quality, 25% suffered from fatigue and one of five had good decision making. The chance of fatigue among nurses with poor sleep quality over the chance of fatigue among nurses with a good quality of sleep is one (OR 1.0. The chance of good decision making among nurses with fatigue over the chance of good decision making among nurses without fatigue is two out of five (OR - 0.18). Spearman rho shows a moderate, significant correlation between the Fatigue Assessment Scale and Pittsburgh Sleep Ouality Index scores (r - 0.547, p < 0.05) and a weak, non-significant correlation between Clinical Decision Making in Nursing Scale and Pittsburgh Sleep Quality Index scores (r - 0.151, p = 0.44). Conclusion Poor sleep quality is moderately correlated with fatigue but it may not necessarily translate into poor decision making among the staff nurses in the study. Fatigue decreases the chance of good decision making by 80%.
Sleep Quality ; Fatigue ; Clinical Decision-Making

OBJECTIVES: Narcolepsy with cataplexy is a rare chronic sleep disorder characterized by excessive daytime sleepiness, cataplexy, sleep paralysis, and hypnagogic/hypnopompic hallucinations. The aims of the present study were comparing the health-related quality of life (HR-QOL) of patients with type I and type II narcolepy patients, and determining the factors that influence the HR-QOL in narcolepsy patients. METHODS: All patients performed night polysomnography (PSG) and multiple sleep latency test (MSLT). HR-QOL and the severity of subjective symptoms were evaluated using various questionnaires, including the Korean versions of the Medical Outcome Study Short Form-36, the Pittsburg Sleep Quality Index-Korean version, the Korean version Epworth Sleepiness Scale, and the Korean version Beck Depression Inventory-2. RESULTS: We enrolled 21 type I narcolepsy patients and 27 type II patients. Type I patients had short rapid eye movement (REM) latency on night PSG and more sleep onset REM periods on MSLT. The total score of HR-QOL was worse in patients with type I narcolepsy than in the type II narcolepsy patients. There was association between the severities of excessive daytime sleepiness, depression and the degree of worsening of QOL. CSF hypocretin level had no correlation with the scores of HR-QOL. CONCLUSIONS: These findings demonstrate that type I narcolepsy patients are sleepier, depressive, and have more burden on the HR-QOL. And the impairment in QOL of narcolepsy patients is related to the degree of excessive daytime and depressive mood.
Cataplexy ; Depression ; Hallucinations ; Humans ; Narcolepsy* ; Outcome Assessment (Health Care) ; Polysomnography ; Quality of Life* ; Sleep Paralysis ; Sleep Wake Disorders ; Sleep, REM

BACKGROUND: Rapid-eye-movement-sleep-dependent obstructive sleep apnea (REM-OSA) is a sleep breathing abnormality in which apneas/hypopneas occur mainly during REM sleep periods. However, the clinical significance of REM-OSA compared to sleep-stage-non-dependent OSA (SND-OSA) has been controversial. This study evaluated differences in the clinical features, polysomnography (PSG) characteristics, and subjective symptoms between REM-OSA and SND-OSA. METHODS: In total, 136 consecutive patients with mild-to-moderate OSA were enrolled. REM-OSA was defined as a rapid eye movement (REM):non-REM apnea-hypopnea index (AHI) ratio of >2 and a total duration of REM sleep exceeding 30 minutes. We compared the demographic, clinical, and PSG characteristics, and subject symptoms between REM-OSA and SND-OSA. RESULTS: The REM-OSA group comprised 45 (33%) of the 136 subjects. The mean age and total AHI did not differ between the groups, but there was a significant female predominance (35.6% vs. 16.5%) in the REM-OSA group. In terms of PSG parameters, subjects with REM-OSA showed a lower percentage of light sleep and a lower AHI in a supine position despite spending more sleep time in that position. Subjective sleep complaints, depression, anxiety, and health-related quality of life did not differ between the two study groups. CONCLUSIONS: The female predominance and sleep architecture differed between REM-OSA and SND-OSA in this study. The AHI in subjects with SND-OSA was dependent on sleep position rather than sleep stage. Further study is needed to elucidate the pathomechanism and clinical significance of REM-OSA.
Adult* ; Anxiety ; Depression ; Female ; Humans ; Polysomnography ; Quality of Life ; Respiration ; Sleep Apnea, Obstructive* ; Sleep Stages ; Sleep, REM ; Supine Position

Objective: To investigate the current situation of cell phone use and sleep quality among college students, establish a sleep quality trajectory model and explore the influence of cell phone use on the sleep quality trajectory. Methods: Based on data from the College Student Behavior and Health Cohort Study 2019-2020, a latent class growth modeling was used to establish a sleep quality trajectory model among college students. The baseline influencing factors of sleep quality trajectories among college students were analyzed by χ² test, and the effects of cell phone use on sleep quality trajectories were analyzed by binary logistic regression. Results: A total of 1 092 college students were included in the analysis. The detection rates of cell phone use and poor sleep quality were 24.5% and 13.3%. Latent class growth model identified two groups of sleep quality trend trajactories: an improved sleep quality group (86.0%) and a decreased sleep quality group (14.0%). The result of binary logistic regression showed that the cell phone use was a risk factor of sleep quality trajectories. Conclusion: The cell phone use during college period could increase the risk of poor sleep quality. Targeted intervention measures about cell phone use should be adopted to improve the sleep quality among college students.
Humans ; Sleep Quality ; Cohort Studies ; Cell Phone Use ; Surveys and Questionnaires ; Students ; Sleep Initiation and Maintenance Disorders ; Cell Phone ; Sleep

PURPOSE: This is a descriptive study conducted in order to survey sleep patterns and factors responsible for sleep disturbance among adolescent cancer patients after hospital admission. METHODS: The study group included 46 adolescent cancer patients aged 10 to 19 who received admission care in multi-bed hospital rooms from March to June 2016. Data on patterns and quality of sleep, and factors causing sleep disturbance were recorded using the Verran and Snyder-Halpern (VSH) Sleep Scale, the Pittsburgh Sleep Quality Index (PSQI), and a sleep disturbance questionnaire. RESULTS: There was no difference in patterns and quality of sleep prior to and after hospital admission in the study group. However, patients experienced sleep disturbance, as defined by PSQI > 5, both before (5.43) and after (6.30) admission. The most important physical, emotional and environmental factors causing sleep disturbance after admission were nocturnal diuresis, monotony of admission care, and crying of younger patients respectively. CONCLUSION: This study focused on sleep patterns and factors causing sleep disturbance after hospital admission for adolescent cancer patients. Future studies should aim to develop nursing interventions resulting in an environment that improves sleep quality. Additional studies should focus on developing daytime programs to determine the impact of admission care on other quality of life parameters.
Adolescent* ; Crying ; Diuresis ; Humans ; Nursing ; Quality of Life ; Sleep Wake Disorders